A BRIEF STUDY ON HISTOPATHOLOGICAL IMAGES

Rajesh Saturi, Rajesh
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Abstract

The process of examining biological tissue under a microscope for detecting the severity of the disease is called histology, it is an essential technique in biomedical research and clinical practice. While slide preparation and imaging is increasingly becoming automated, but the analysis of histology images still require the trained eyes of a pathologist to examine under a microscope. Processing tissues from histopathological images has become now fully computerized, significantly increasing the speed, the labs can produce tissue slides for viewing images digitally. Digitizing these slides, allows pathologist to view these slides on a computer rather than on microscope. routine analysis of tissues selection will be very difficult, manual task that can be completed only by trained pathologists at a huge cost. In the clinical domain, these methods could improve the accuracy and consistency of diagnoses and hence pathologists can focus on the most difficult cases. This research domain could complete the tasks that are time-consuming for humans, and discover new diseases from millions of whole-slide images (WSIs) or precisely delineating tissues within a tumor, allowing for a quantitative comparison of tumours grown under different conditions.
组织病理学图像的简要研究
在显微镜下检查生物组织以检测疾病严重程度的过程称为组织学,它是生物医学研究和临床实践中的一项重要技术。虽然载玻片制备和成像越来越自动化,但组织图像的分析仍然需要病理学家训练有素的眼睛在显微镜下进行检查。从组织病理学图像中处理组织现在已经完全实现了计算机化,大大提高了速度,实验室可以制作组织载玻片以数字方式观看图像。将这些载玻片数字化,使病理学家可以在电脑上而不是显微镜上查看这些载玻片。组织选择的常规分析将是非常困难的,手工任务,只能由训练有素的病理学家以巨大的成本完成。在临床领域,这些方法可以提高诊断的准确性和一致性,因此病理学家可以专注于最困难的病例。这个研究领域可以完成人类耗时的任务,并从数百万张全幻灯片图像(wsi)中发现新的疾病,或精确描绘肿瘤内的组织,允许在不同条件下生长的肿瘤进行定量比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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